14 citations · 43 across the 7 of their papers we have counts for
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cs.RO2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens, Michael Everett, Jonathan P. How
Deep Neural Network-based systems are now the state-of-the-art in many robotics tasks, but their application in safety-critical domains remains dangerous without formal guarantees…
cs.RO2018
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
Many current autonomous systems are being designed with a strong reliance on black box predictions from deep neural networks (DNNs). However, DNNs tend to be overconfident in predi…